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Intelligent Distributed Computing XIV

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. David Camacho

    1. Computer Systems Engineering Department, Universidad Politécnica de Madrid, Madrid, Spain

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  2. Domenico Rosaci

    1. DIIES Department, University of Reggio Calabria, Reggio Calabria, Italy

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  3. Giuseppe M. L. Sarné

    1. Department of Psychology, University of Milan Bicocca, Milan, Italy

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  4. Mario Versaci

    1. DICEAM Department, University of Reggio Calabria, Reggio Calabria, Italy

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  • Presents recent research on intelligent distributed computing
  • Includes the scientific outcome of the 14th International Symposium on Intelligent Distributed Computing (IDC 2021)
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 1026)

Included in the following conference series:

Conference proceedings info: IDC 2021.

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Table of contents (43 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. INTERNET OF THINGS (Main Track)—Chair: David Camacho

    1. Front Matter

      Pages 1-1
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    2. EBASI: IoT-Based Emotion and Behaviour Recognition System Against Elderly People Social Isolation

      • Clara I. Valero, Saverio Gravina, Alessio Ciuffetti, Marco Di Gioia, Raffaele Gravina, Fernando Boronat et al.
      Pages 3-13

    3. Smart Health Services Based on IoT and GIS

      • Aldina Avdić, Ulfeta Marovac, Dragan Janković
      Pages 15-23

    4. A Review of Internet of Things Platforms Through the IoT-A Reference Architecture

      • Giancarlo Fortino, Antonio Guerrieri, Claudio Savaglio, Giandomenico Spezzano
      Pages 25-34

    5. Critical Comparison of Data Imputation Techniques at IoT Edge

      • Laura Erhan, Mario Di Mauro, Ovidiu Bagdasar, Antonio Liotta
      Pages 35-43

    6. A Novel Approach for Calculating Real-Time Composite Indicators Relying on Internet of Things and Industrial Data Spaces

      • Andreu Belsa, Rafael Vaño, Ignacio Lacalle, Matilde Julián, Fernando Boronat, Carlos E. Palau
      Pages 45-55

  3. MACHINE LEARNING (Main Track)—Chair: Antonio Guerrieri

    1. Front Matter

      Pages 57-57
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    2. Using Evolving Ensembles to Deal with Concept Drift in Streaming Scenarios

      • Diogo Ramos, Davide Carneiro, Paulo Novais
      Pages 59-68

    3. Applying of Machine Learning for Analyzing Network Traffic in the Conditions of an Unbalanced Data Sample

      • Babyr Rzayev, Ilya Lebedev
      Pages 69-78

    4. A WNN-Based Approach for Network Intrusion Detection

      • Mario Di Mauro, Giovanni Galatro, Antonio Liotta
      Pages 79-88

    5. A Force Field Reinforcement Learning Approach for the Observation Problem

      • Jamy Chahal, Amal El Fallah Seghrouchni, Assia Belbachir
      Pages 89-99

    6. Macro Architecture for Microservices: Improving Internal Quality of Microservice Systems

      • Lars Braubach, Kai Jander, Alexander Pokahr
      Pages 101-112

    7. An Artificial Neural Network to Simulate Surface Runoff and Soil Erosion in Burned Forests

      • Lidia Fotia, Manuel Esteban Lucas-Borja, Domenico Rosaci, Giuseppe M. L. Sarné, Demetrio Antonio Zema
      Pages 113-122

  4. FITS (Special Session)—Chair: Maria Nadia Postorino

    1. Front Matter

      Pages 123-123
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    2. Cooperative Negotiation in Connected Vehicles for Mitigating Traffic Congestion

      • Tri-Hai Nguyen, Gen Li, Hyoenseong Jo, Jason J. Jung, David Camacho
      Pages 125-134

    3. New Challenges for Urban Air Mobility Systems: Aerial Cooperative Vehicles

      • Chiara Caterina Ditta, Maria Nadia Postorino
      Pages 135-145

    4. Combining Coordination Strategies for Autonomous Vehicles in Intersections Networks

      • Marco Gambelli, Stefano Mariani, Giacomo Cabri, Franco Zambonelli
      Pages 147-157

    5. Using Boundary Objects and ANT Concepts to Implement Multi-agent Systems as Drivers of Innovation in Logistics

      • Yury Iskanderov, Mikhail Pautov
      Pages 159-168

    6. Traffic Flow Modelling When Autonomous Vehicles Coexist with Human Driven Vehicles: Perspectives and Challenges

      • Giacomo Cabri, Serena Crisci, Manuela Montangero
      Pages 169-177
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  1. Intelligent Distributed Computing XIV

Keywords

About this book

This book collects 43 regular papers received from 18 countries that present innovative advances in intelligent and distributed computing, encompassing both architectural and algorithmic results related to these fields. Significant attention is given to new models, techniques, and applications for distributed intelligent architectures and high-performance architectures, machine learning techniques, Internet of Things, blockchain, intelligent transport systems, data analytics, trust and reputation systems, and many others. The book includes the peer-reviewed proceedings of the 14th International Symposium on Intelligent Distributed Computing (IDC 2021), which was held in online mode due to the COVSARS2 pandemic situation, during September 16–18, 2021.

The IDC 2021 event included sessions on Internet of Things, data analytics, machine learning, multi-agent systems, algorithms, future intelligent transport solutions, blockchain, intelligent distributed computing for cyber-physical security, and security and trust and reputation in intelligent environments.

Editors and Affiliations

  • Computer Systems Engineering Department, Universidad Politécnica de Madrid, Madrid, Spain

    David Camacho

  • DIIES Department, University of Reggio Calabria, Reggio Calabria, Italy

    Domenico Rosaci

  • Department of Psychology, University of Milan Bicocca, Milan, Italy

    Giuseppe M. L. Sarné

  • DICEAM Department, University of Reggio Calabria, Reggio Calabria, Italy

    Mario Versaci

Bibliographic Information

  • Book Title: Intelligent Distributed Computing XIV

  • Editors: David Camacho, Domenico Rosaci, Giuseppe M. L. Sarné, Mario Versaci

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-96627-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-96626-3Published: 07 May 2022

  • Softcover ISBN: 978-3-030-96967-7Published: 08 May 2023

  • eBook ISBN: 978-3-030-96627-0Published: 06 May 2022

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVII, 476

  • Number of Illustrations: 35 b/w illustrations, 96 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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